Authors :
Ali Serhat Ersoyoğlu
Volume/Issue :
Volume 11 - 2026, Issue 8 - August
Google Scholar :
https://tinyurl.com/4kh83ecx
Scribd :
https://tinyurl.com/4f373fjc
DOI :
https://doi.org/10.38124/ijisrt/26aug534
Note : A published paper may take 4-5
working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and
ResearchGate.
Abstract :
Surface texture in peripheral milling emerges from the combined action of cutter kinematics, engagement, force
generation, structural response, tool condition, and geometric error. The cutter helix is of particular interest because it
distributes an individual cutting edge along the axial direction and consequently introduces a phase difference between axial
sections of that edge. This review re-examines published evidence through that geometric–mechanical connection. Rather
than reporting new measurements or fitting a universal roughness equation, the paper organizes analytical, numerical, and
experimental findings into a causal sequence: helix geometry affects axial engagement and chip-load phase; the resulting
load distribution interacts with machine–tool dynamics; the actual tool trajectory then determines the surface texture. Feed
per tooth, cutting speed, axial and radial engagement, runout, vibration, and tool wear are treated as interacting variables
rather than isolated predictors. A literature-derived functional framework is formulated to show where these variables enter
the surface-generation process and which relationships still require experimental calibration. The review therefore serves
as a mechanistic synthesis and as a design basis for a future controlled study, not as a validated predictive model.
Keywords :
Peripheral Milling; Helical Cutter; Helix Angle; Surface Texture; Surface Roughness; Feed Per Tooth; Cutting Dynamics; Runout; Mechanistic Framework.
References :
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Surface texture in peripheral milling emerges from the combined action of cutter kinematics, engagement, force
generation, structural response, tool condition, and geometric error. The cutter helix is of particular interest because it
distributes an individual cutting edge along the axial direction and consequently introduces a phase difference between axial
sections of that edge. This review re-examines published evidence through that geometric–mechanical connection. Rather
than reporting new measurements or fitting a universal roughness equation, the paper organizes analytical, numerical, and
experimental findings into a causal sequence: helix geometry affects axial engagement and chip-load phase; the resulting
load distribution interacts with machine–tool dynamics; the actual tool trajectory then determines the surface texture. Feed
per tooth, cutting speed, axial and radial engagement, runout, vibration, and tool wear are treated as interacting variables
rather than isolated predictors. A literature-derived functional framework is formulated to show where these variables enter
the surface-generation process and which relationships still require experimental calibration. The review therefore serves
as a mechanistic synthesis and as a design basis for a future controlled study, not as a validated predictive model.
Keywords :
Peripheral Milling; Helical Cutter; Helix Angle; Surface Texture; Surface Roughness; Feed Per Tooth; Cutting Dynamics; Runout; Mechanistic Framework.